The first thing to know about visual and ocular function is that they are very similar. They are both functions that use eyes to see. In fact, a majority of visual perception in the brain is visual. The difference is that in the visual system the neurons for both vision and depth perception are similar. In the ophthalmic system, on the other hand, there are neurons which respond only to depth, for instance. Ocular function is the control and coordination of what the eye sees at the moment.
In the study described above, two neuroscientists trained their participants to do two different tasks while looking at a single image. One task involved the movement of a mouse, the other task involved moving a mouse that could be placed at different depths. While the participants were looking at the stimuli there were no changes in their vision or ocular function. When the same stimuli were examined again, there was a significant and significant decline in their ability to discriminate between depth and visual motion. The same results were found for blind and sighted people, and even for blind individuals who were trained to find moving objects.
What can be done to improve vision?
We know that improvements in vision are often mediated by improvements in the visual systems at the point where we make the eye movements. This is called the “inverse eye-inverse” relationship. The visual system is designed to respond primarily to the light-dark axis in the spectrum of white light (0.6μm), whereas the ophthalmic system responds to the near infrared spectrum (0.04μm). However, some information may be lost in the light-dark axis so that both systems may be in equilibrium at an optimal output level in the near-infrared range. This can be countered by using more sensitive sensors or electrodes into the near infrared range by applying a larger, more localized current through the visual system. For example by making sensors more sensitive to near-infrared light. The near-infrared sensor might be put directly onto the retina to provide an optimal input into the visual system to compensate for lost information. Other examples include an adaptive optics system for the near-infrared region to detect differences in the near-infrared light field to compensate for lost information and a photoreceptor receptor cell for the near-infrared region to deliver near-infrared light to the photoreceptor cell. The sensor could be in combination with a chip with a photoreceptor cell to amplify and transmit the near infrared light to deliver optimal
weight loss foods women, weight loss calculator calculator.org, weight loss surgery side effects pdf, stomach surgery weight loss dallas tx, weight loss surgery types nhs